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Use of contrast enhancement and high-resolution 3D black-blood MRI to identify inflammation in atherosclerosis

DC Field Value Language
dc.contributor.author김영진-
dc.contributor.author박재석-
dc.contributor.author심효섭-
dc.contributor.author이혜정-
dc.contributor.author최규옥-
dc.contributor.author최병욱-
dc.contributor.author허진-
dc.date.accessioned2015-04-23T17:37:03Z-
dc.date.available2015-04-23T17:37:03Z-
dc.date.issued2010-
dc.identifier.issn1936-878X-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/102805-
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S1936878X1000570X-
dc.description.abstractOBJECTIVES: We investigated the contributing factors for plaque enhancement and examined the relationships between regional contrast enhancement and the inflammatory activity of atherosclerotic plaques in an experimental rabbit model using contrast-enhanced high-resolution 3-dimensional (3D) black-blood magnetic resonance imaging (MRI) in comparison with histopathologic analysis. BACKGROUND: Inflammation plays a critical role in plaque initiation, progression, and disruption. As such, inflammation represents an emerging target for the treatment of atherosclerosis. MRI findings suggest that contrast agent-induced signal enhancement is associated with the degree of macrophage infiltration and neovessels that can be detected in plaque. METHODS: Ten atherosclerotic rabbits and 3 normal control rabbits underwent high-resolution 3D contrast-enhanced black-blood MRI. Magnetic resonance images and the corresponding histopathologic sections were divided into 4 quadrants. Plaque composition was analyzed for each quadrant according to histopathologic criteria (percent of lipid-rich, fibrous, macrophage area and microvessel density) and imaging criteria (enhancement ratio [ER], ER = signal intensity(post)/signal intensity(pre)). Multiple linear regression analysis was performed to determine independent factors for plaque enhancement. RESULTS: A total of 62 noncalcified plaques (n = 248; 156 lipid-rich quadrants and 92 fibrous quadrants) were identified based on histopathologic analysis. Mean ER values were significantly higher in atherosclerotic vessel walls than in normal vessel walls (2.03 ± 0.25 vs. 1.58 ± 0.15; p = 0.017). The mean ER values were significantly higher in lipid-rich quadrants compared with the fibrous quadrants (2.14 ± 0.31 vs. 1.84 ± 0.21; p = 0.001). Mean ER values were significantly higher in macrophage-rich plaques compared with the macrophage-poor plaques (2.21 ± 0.28 vs. 1.81 ± 0.22; p = 0.001). Using multiple regression analysis, macrophage area and microvessel density were associated independently with ER values that reflected plaque enhancement (p < 0.001). CONCLUSIONS: Contrast-enhanced high-resolution 3D black-blood MRI may be an efficient method to detect plaque inflammation-
dc.description.statementOfResponsibilityopen-
dc.relation.isPartOfJACC-CARDIOVASCULAR IMAGING-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.subject.MESHAnimals-
dc.subject.MESHAortic Diseases/metabolism-
dc.subject.MESHAortic Diseases/pathology*-
dc.subject.MESHAtherosclerosis/metabolism-
dc.subject.MESHAtherosclerosis/pathology*-
dc.subject.MESHContrast Media*-
dc.subject.MESHDisease Models, Animal-
dc.subject.MESHFibrosis-
dc.subject.MESHGadolinium DTPA*-
dc.subject.MESHImage Interpretation, Computer-Assisted-
dc.subject.MESHImaging, Three-Dimensional*-
dc.subject.MESHInflammation/metabolism-
dc.subject.MESHInflammation/pathology*-
dc.subject.MESHLinear Models-
dc.subject.MESHLipids/analysis-
dc.subject.MESHMacrophages/pathology-
dc.subject.MESHMagnetic Resonance Imaging/methods*-
dc.subject.MESHMale-
dc.subject.MESHMicrovessels/pathology-
dc.subject.MESHPredictive Value of Tests-
dc.subject.MESHRabbits-
dc.titleUse of contrast enhancement and high-resolution 3D black-blood MRI to identify inflammation in atherosclerosis-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Pathology (병리학)-
dc.contributor.googleauthorJin Hur-
dc.contributor.googleauthorJaeseok Park-
dc.contributor.googleauthorYoung Jin Kim-
dc.contributor.googleauthorHye-Jeong Lee-
dc.contributor.googleauthorHyo Sup Shim-
dc.contributor.googleauthorKyu Ok Choe-
dc.contributor.googleauthorByoung Wook Choi-
dc.identifier.doi10.1016/j.jcmg.2010.08.012-
dc.admin.authorfalse-
dc.admin.mappingfalse-
dc.contributor.localIdA01635-
dc.contributor.localIdA02219-
dc.contributor.localIdA04042-
dc.contributor.localIdA04059-
dc.contributor.localIdA04370-
dc.contributor.localIdA00727-
dc.contributor.localIdA03320-
dc.relation.journalcodeJ01192-
dc.identifier.eissn1876-7591-
dc.identifier.pmid21071000-
dc.subject.keywordatherosclerosis-
dc.subject.keywordinflammation-
dc.subject.keywordmagnetic resonance imaging-
dc.subject.keywordplaque-
dc.contributor.alternativeNameKim, Young Jin-
dc.contributor.alternativeNamePark, Jae Seok-
dc.contributor.alternativeNameShim, Hyo Sup-
dc.contributor.alternativeNameLee, Hye Jeong-
dc.contributor.alternativeNameChoe, Kyu Ok-
dc.contributor.alternativeNameChoi, Byoung Wook-
dc.contributor.alternativeNameHur, Jin-
dc.contributor.affiliatedAuthorPark, Jae Seok-
dc.contributor.affiliatedAuthorShim, Hyo Sup-
dc.contributor.affiliatedAuthorChoe, Kyu Ok-
dc.contributor.affiliatedAuthorChoi, Byoung Wook-
dc.contributor.affiliatedAuthorHur, Jin-
dc.contributor.affiliatedAuthorKim, Young Jin-
dc.contributor.affiliatedAuthorLee, Hye Jeong-
dc.citation.volume3-
dc.citation.number11-
dc.citation.startPage1127-
dc.citation.endPage1135-
dc.identifier.bibliographicCitationJACC-CARDIOVASCULAR IMAGING, Vol.3(11) : 1127-1135, 2010-
dc.identifier.rimsid34825-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Pathology (병리학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers

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